DiSignAtlas: an atlas of human and mouse disease signatures based on bulk and single-cell transcriptomics.

Molecular signatures are usually sets of biomolecules that can serve as diagnostic, prognostic, predictive, or therapeutic markers for a specific disease. Omics data derived from various high-throughput molecular biology technologies offer global, unbiased and appropriately comparable data, which can be used to identify such molecular signatures. To address the need for comprehensive disease signatures, DiSignAtlas (http://www.inbirg.com/disignatlas/) was developed to provide transcriptomics-based signatures for a wide range of diseases. A total of 181 434 transcriptome profiles were manually curated from studies involving 1836 nonredundant disease types in humans and mice. Then, 10 306 comparison datasets comprising both disease and control samples, including 328 single-cell RNA sequencing datasets, were established. Furthermore, a total of 3 775 317 differentially expressed genes in humans and 1 723 674 in mice were identified as disease signatures by analysing transcriptome profiles using commonly used pipelines. In addition to providing multiple methods for the retrieval of disease signatures, DiSignAtlas provides downstream functional enrichment analysis, cell type analysis and signature correlation analysis between diseases or species when available. Moreover, multiple analytical and comparison tools for disease signatures are available. DiSignAtlas is expected to become a valuable resource for both bioscientists and bioinformaticians engaged in translational research.

Liver cancer in China: the analysis of mortality and burden of disease trends from 2008 to 2021.

BACKGROUND: Liver cancer is one of the most common cancers in China. To understand the basic death situation and disease burden change trend, we analyze the death information of liver cancer among Chinese residents from 2008 to 2021. METHODS: Data was collected from the Cause-of-Death Surveillance dataset of the National Cause-of-Death Surveillance System from 2008 to 2021. Excel 2016 was used for data entry and to calculate the Crude Mortality Rate (CMR), Age-Standardized Mortality Rate (ASMR), Potential Years of Life Lost (PYLL), and Potential Years of Life Lost Rate (PYLLR). SPSS 25.0 was used to statistically analyze CMR, ASMR, PYLL, and other indicators. Annual percent change (APC) and average APC(AAPC) was used for trend analysis and tested by t tests. Joinpoint 4.9.1.0 was used to calculate APC and AAPC. Age-Period-Cohort model was used to assess the effects of age, period, and birth cohort on liver cancer mortality. RESULTS: From 2008 to 2021, 491,701 liver cancer deaths were reported in the National Disease Surveillance Points System. The ASMR of liver cancer in Chinese residents decreased from 27.58/100,000 in 2008 to 17.95/100,000 in 2021 at an average annual rate of 3.40% (t = -5.10, P < 0.001). The mortality rate was higher in males than in females (all P < 0.001) and higher in rural areas than in urban areas (all P < 0.001). The mortality rate of liver cancer varied significantly among eastern, central, and western China (all P < 0.001). The PYLLR of liver cancer in Chinese residents decreased from 2.89‰ in 2008 to 2.06‰ in 2021 at an average annual rate of 2.40% (t = -5.10, P < 0.001). Males had a lower PYLLR than females, decreasing at average annual rates of 2.20% (t = -5.40, P < 0.001) and 2.90% (t = -8.40, P < 0.001), respectively. Urban areas had a lower PYLLR than rural areas, decreasing at average annual rate of 3.30% (t = -4.00, P < 0.001) and 2.50% (t = -11.60, P < 0.001), respectively. Eastern, central, and western China decreased at average annual rates of 3.40%, 2.30%, and 2.10%, respectively (t = -7.80, -3.60, -7.10, P < 0.001 for all). The risk of China liver cancer mortality increased with age, decreased with birth cohort. CONCLUSIONS: The mortality and disease burdens of liver cancer in China decreased yearly and were higher in males and in people living in rural areas, with significant differences among those living in eastern, central, and western China.

Collateral effects of COVID-19 countermeasures on hepatitis E incidence pattern: a case study of china based on time series models.

BACKGROUND: There are abundant studies on COVID-19 but few on its impact on hepatitis E. We aimed to assess the effect of the COVID-19 countermeasures on the pattern of hepatitis E incidence and explore the application of time series models in analyzing this pattern. METHODS: Our pivotal idea was to fit a pre-COVID-19 model with data from before the COVID-19 outbreak and use the deviation between forecast values and actual values to reflect the effect of COVID-19 countermeasures. We analyzed the pattern of hepatitis E incidence in China from 2013 to 2018. We evaluated the fitting and forecasting capability of 3 methods before the COVID-19 outbreak. Furthermore, we employed these methods to construct pre-COVID-19 incidence models and compare post-COVID-19 forecasts with reality. RESULTS: Before the COVID-19 outbreak, the Chinese hepatitis E incidence pattern was overall stationary and seasonal, with a peak in March, a trough in October, and higher levels in winter and spring than in summer and autumn, annually. Nevertheless, post-COVID-19 forecasts from pre-COVID-19 models were extremely different from reality in sectional periods but congruous in others. CONCLUSIONS: Since the COVID-19 pandemic, the Chinese hepatitis E incidence pattern has altered substantially, and the incidence has greatly decreased. The effect of the COVID-19 countermeasures on the pattern of hepatitis E incidence was temporary. The incidence of hepatitis E was anticipated to gradually revert to its pre-COVID-19 pattern.

Vision-based algorithm for online TIG welding deviation detection of stainless steel welded pipes.

Tungsten inert gas (TIG) welding is the main welding process in the production of stainless steel welded pipe. According to the morphological characteristics of the welding molten pool image during the TIG welding process of stainless steel welded pipes, the exact position of the tungsten needle tip is calculated using image moments. Extract the weld region in the contour of the molten pool, interpolate the contour curve based on the cubic B-spline curve interpolation method, utilize the characteristics of the S-G filter, remove the interference coordinates in the contour curve through the detrending of the contour curve, extract the weld feature points, and realize the accurate identification of weld seams. The experimental results show that the method can accurately calculate the welding deviation in the welding process.

Underwater laser positioning of targets outside the field of view based on a binocular vision.

An underwater laser positioning scheme based on a binocular camera is introduced. In spite of the scattering, the underwater laser light path can be clearly captured by a camera within an appropriate range depending on the water turbidity. For an emitting laser with a fixed position, the three-dimensional information of the laser source can be calculated from the beam images captured by a binocular camera, even if the laser is out of the camera's field of view (FOV). This method can break through the FOV limitation of traditional camera positioning and perform a 3D spatial positioning for the target even outside the FOV of the camera. We simulate and analyze the scattering light imaging and find that the laser propagation direction can be recognized from the scattering image. The experimental results show that the proposed underwater positioning scheme achieves an average 3D positioning error of 5.53 cm within a range of 5 m when the underwater attenuation is 0.325m -1.

Associations of adverse childhood experiences with common psychiatric disorder in later life: results from the China mental health survey.

BACKGROUND: Associations between adverse childhood experiences (ACEs) and common psychiatric disorders among older Chinese individuals have not been well reported. The objectives of this study are to examine the prevalence of ACEs and the associations of ACEs with common psychiatric disorders among older adults in China. METHODS: The study used data from the China Mental Health Survey (CMHS), a nationally representative epidemiological survey, which used computer-assisted personal interviewing (CAPI), logistic regression models were used to examine community-based adult psychiatric disorders and associated risk factors. Finally, 2,317 individuals aged 60 years or over were included in the CMHS. The national prevalence of ACEs in older adults were estimated and logistic regression were used to analyse the association between ACEs and past-year psychiatric disorders. RESULTS: Prevalence of ACEs among older adults in China was 18.1%. The three most common types of ACEs were neglect (11.6%), domestic violence (9.2%), and parental loss (9.1%). This study proved the association between ACEs and common past-year psychiatric disorders in older adults. ACEs increased the risk of past-year psychiatric disorders in older adults. After adjustment for age, sex, marital status, employment status, education, rural or urban residence, region, and physical diseases, the association between ACEs and past-year psychiatric disorders were still significant. CONCLUSIONS: ACEs are linked to an increased risk for past-year psychiatric disorders in older adults. ACEs may have long-term effects on older adults' mental well-being. Preventing ACEs may help reduce possible adverse health outcomes in later life.

Complete Genome Sequence of Pantoea ananatis Strain LCFJ-001 Isolated from Bacterial Wilt Mulberry.

A Pantoea ananatis strain, named LCFJ-001 (GDMCC: 1.6101), was isolated for the first time from bacterial wilt-diseased roots of mulberry (Morus atropurpurea) in the western part of the Guangxi Zhuang Autonomous Region, China. Moreover, through Koch's postulates, it was proven that LCFJ-001 can cause mulberry wilt, which is one of the pathogens of mulberry bacterial wilt. Here, we report a complete, annotated genome sequence of P. ananatis LCFJ-001. The entire genome sequence of P. ananatis strain LCFJ-001 was a 4,499,350 bp circular chromosome with 53.50% GC content. In total, 3,521 genes were annotated, of which 3,418 were assigned protein-coding genes. In addition, 22 ribosomal RNAs and 81 transfer RNAs were identified. The presented resource will help explore the pathogenetic mechanisms of mulberry wilt disease caused by the genus Pantoea.

Analysis of endophytic bacterial flora of mulberry cultivars susceptible and resistant to bacterial wilt using metagenomic sequencing and culture-dependent approach.

Endophytes have a wide range of potential in maintaining plant health and sustainable agricultural environmental conditions. In this study, we analysed the diversity of endophytic bacteria in four mulberry cultivars with different resistance capacity against bacterial wilt using metagenomic sequencing and culture-dependent approaches. We further assessed the role of 11 shared genera in the control of bacterial wilt of mulberry. The results of the present study showed that Actinobacteria, Firmicutes, and Proteobacteria were the three dominant phyla in all communities, with the representative genera Acinetobacter and Pseudomonas. The diversity analysis showed that the communities of the highly and moderately resistant varieties were more diverse compared to those of the weakly resistant and susceptible varieties. The control tests of mulberry bacterial wilt showed that Pantoea, Atlantibacter, Stenotrophomonas, and Acinetobacter were effective, with a control rate of over 80%. Microbacterium and Kosakonia were moderately effective, with a control rate between 50 and 80%. At the same time, Escherichia, Lysinibacillus, Pseudomonas, and Rhizobium were found to be less effective, with a control rate of less than 40%. In conclusion, this study provides a reasonable experimental reference data for the control of bacterial wilt of mulberry.

Short-Video Apps as a Health Information Source for Chronic Obstructive Pulmonary Disease: Information Quality Assessment of TikTok Videos.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) has become one of the most critical public health problems worldwide. Because many COPD patients are using video-based social media to search for health information, there is an urgent need to assess the information quality of COPD videos on social media. Recently, the short-video app TikTok has demonstrated huge potential in disseminating health information and there are currently many COPD videos available on TikTok; however, the information quality of these videos remains unknown. OBJECTIVE: The aim of this study was to investigate the information quality of COPD videos on TikTok. METHODS: In December 2020, we retrieved and screened 300 videos from TikTok and collected a sample of 199 COPD-related videos in Chinese for data extraction. We extracted the basic video information, coded the content, and identified the video sources. Two independent raters assessed the information quality of each video using the DISCERN instrument. RESULTS: COPD videos on TikTok came mainly from two types of sources: individual users (n=168) and organizational users (n=31). The individual users included health professionals, individual science communicators, and general TikTok users, whereas the organizational users consisted of for-profit organizations, nonprofit organizations, and news agencies. For the 199 videos, the mean scores of the DISCERN items ranged from 3.42 to 4.46, with a total mean score of 3.75. Publication reliability (P=.04) and overall quality (P=.02) showed significant differences across the six types of sources, whereas the quality of treatment choices showed only a marginally significant difference (P=.053) across the different sources. CONCLUSIONS: The overall information quality of COPD videos on TikTok is satisfactory, although the quality varies across different sources and according to specific quality dimensions. Patients should be selective and cautious when watching COPD videos on TikTok.

LINC00511 contributes to glioblastoma tumorigenesis and epithelial-mesenchymal transition via LINC00511/miR-524-5p/YB1/ZEB1 positive feedback loop.

Tumour invasion is closely related to the prognosis and recurrence of glioblastoma multiforme and partially attributes to epithelial-mesenchymal transition. Long intergenic non-coding RNA 00511 (LINC00511) plays a pivotal role in tumour; however, the role of LINC00511 in GBM, especially in the epigenetic molecular regulation mechanism of EMT, is still unclear. Here, we found that LINC00511 was up-regulated in GBM tissues and relatively high LINC00511 expression predicted poorer prognosis. Moreover, ectopic LINC00511 enhanced GBM cells proliferation, EMT, migration and invasion, whereas LINC00511 knockdown had the opposite effects. Mechanistically, we confirmed that ZEB1 acted as a transcription factor for LINC00511 in GBM cells. Subsequently, we found that LINC00511 served as a competing endogenous RNA that sponged miR-524-5p to indirectly regulate YB1, whereas, up-regulated YB1 promoted ZEB1 expression, which inversely facilitated LINC00511 expression. Finally, orthotopic xenograft models were performed to further demonstrate the LINC00511 on GBM tumorigenesis. This study demonstrates that a LINC00511/miR-524-5p/YB1/ZEB1 positive feedback loop provides potential therapeutic targets for GBM progression.

Comparison of 18F-FDG PET/CT and conventional methods in diagnosing extranodal natural killer/T-cell lymphoma.

Background: The utility of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in natural killer (NK)/T-cell lymphoma patients is yet to be established. The aim of this study was to investigate the role of PET/CT scanning in detecting NK/T-cell lymphoma. Methods: We analyzed the PET/CT imaging characteristics of 38 patients with a primary diagnosis of NK/T-cell lymphoma and also compared the ability of PET/CT to detect tumor lesions with conventional methods (CMs) (physical examination, computed tomography (CT) with intravenous contrast, magnetic resonance imaging (MRI), biopsies from primary sites, and bone marrow examinations)and their impact on staging and treatment options. Biopsy and clinical follow-up (including imaging) are the gold standard for diagnosis. Results: We analyzed PET/CT images of NK/T-cell lymphomas. We found that most of the primary lesions were located in the nasal cavity, with the sinuses and the posterior pharyngeal wall being the most common sites of adjacent invasion. The majority of cases involved cervical lymph nodes, and the distribution of affected lymph nodes between the cervical and extra-cervical regions was random. There was no discernible pattern to the locations of affected tissues and organs across the body. In total, 219 lesions (including 81 nodal lesions and 138 extranodal lesions) tested positive for malignancy. The number of positive lymph node lesions detected by PET/CT and CMs was 79 (97.5 %) and 62 (76.5 %), respectively (P = 0.004). There were 53 (96.4 %) and 46 (83.6 %) cervical lymph nodes detected (P = 0.008), 26 (100 %) and 16 (61.5 %) other lymph nodes detected (P = 0.041)), respectively. The number of positive extranodal lesions detected by PET/CT and CMs was 137 (99.3 %) and 98 (71.0 %), respectively (P = 0.01), and there were no discernible differences in the upper respiratory tract. PET/CT outperformed CMs in the detection of malignant lesions by a significant margin, detecting 79 (98.8 %) extranodal lesions compared to 45 (56.3 %) by CMs (P = 0.034). PET/CT results changed the initial staging in 15.8 % of cases and the treatment plan in 10.5 % of patients. Conclusion: Our findings indicate that 18F-FDG PET/CT scanning is crucial in identifying tumor lesions, determining staging, and devising treatment strategies for individuals diagnosed with NK/T-cell lymphoma.

Phosphamide-Based Washing-Durable Flame Retardant for Cotton Fabrics.

A formaldehyde-free reactive flame retardant, an ammonium salt of triethylenetetramine phosphoryl dimethyl ester phosphamide phosphoric acid (ATPEPDPA), was synthesized and characterized using nuclear magnetic resonance (NMR). Fourier transform infrared spectroscopy test (FT-IR), durability test and scanning electron microscopy (SEM) results suggested that ATPEPDPA was successfully grafted on cotton fabrics through a -N-P(=O)-O-C covalent bond. Moreover, the limiting oxygen index (LOI) value of 20 wt% ATPEPDPA-treated cotton was 44.6%, which met stringent washing standard after 50 laundering cycles (LCs). The high washing resistance of the ATPEPDPA-treated cotton was due to the p-π conjugation between the N atom and the P(=O) group in the flame-retardant molecule, which strengthened the stability of the -N-P(=O)-O-C bonds between ATPEPDPA and cellulose, and the -N-P(=O)-(O-CH3)2 groups in the ATPEPDPA. The cone calorimetric test showed that the treated cotton had excellent flame retardance. In addition, the TG and TG-IR tests suggested that ATPEPDPA performed a condensed flame retardance mechanism. Furthermore, the physical properties and hand feel of the treated cotton were well maintained. These results suggested that introducing -N-P(=O)-(O-CH3)2 and -N-P(=O)-(ONH4)2 groups into ATPEPDPA could significantly increase the fire resistance and durability of cotton fabrics.

Acellular fish skin grafts in the treatment of diabetic wounds: Advantages and clinical translation.

Diabetic wounds cannot undergo normal wound healing due to changes in the concentration of hyperglycemia in the body and soon evolve into chronic wounds causing amputation or even death of patients. Diabetic wounds directly affect the quality of patients and social medical management; thus researchers started to focus on skin transplantation technology. The acellular fish skin grafts (AFSGs) are derived from wild fish, which avoids the influence of human immune function and the spread of the virus through low-cost decellularization. AFSGs contain a large amount of collagen and omega-3 polyunsaturated fatty acids and they have an amazing effect on wound regeneration. However, after our search in major databases, we found that there were few research trials in this field, and only one was clinically approved. Therefore, we summarized the advantages of AFSGs and listed the problems faced in clinical use. The purpose of this paper is to enable researchers to better carry out original experiments at various stages.

AHR/cyp1b1 signaling-mediated extrinsic apoptosis contributes to 6PPDQ-induced cardiac dysfunction in zebrafish embryos.

N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPDQ) has raised significant concerns due to its widespread distribution and high toxicity to aquatic organisms. However, the cardiac developmental toxicity of 6PPDQ and the underlying mechanisms remain unclear. In this study, we observed no notable alterations in heart morphology or embryo survival in zebrafish embryos exposed to 6PPDQ (0.2-2000 µg/L) up to 3 days post-fertilization (dpf). However, concentrations at 2 µg/L or higher induced cardiac dysfunctions, leading to lethal effects at later stages (6-8 dpf). We further found that the aryl hydrocarbon receptor (AHR) inhibitor CH22351 attenuated 6PPDQ-induced cardiac dysfunctions, implicating the involvement of AHR signal pathway. Moreover, 6PPDQ exposure led to an overproduction of reactive oxygen species (ROS) and an upregulation of genes associated with oxidative stress (sod1, sod2, and nrf2a). This was accompanied by an increase in oxidative DNA damage and the induction of p53-dependent extrinsic apoptosis. Co-exposure to the ROS scavenger N-acetylcysteine effectively counteracted the DNA damage and apoptosis induced by 6PPDQ. Importantly, inhibition of AHR or its downstream target cyp1b1 attenuated 6PPDQ-induced oxidative stress, DNA damage, and apoptosis. In conclusion, our results provide evidence that 6PPDQ induces oxidative stress through the AHR/cyp1b1 signaling pathway, leading to DNA damage and extrinsic apoptosis, ultimately resulting in cardiac dysfunction.

MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images.

Accurate segmentation of the adrenal gland from abdominal computed tomography (CT) scans is a crucial step towards facilitating the computer-aided diagnosis of adrenal-related diseases such as essential hypertension and adrenal tumors. However, the small size of the adrenal gland, which occupies less than 1% of the abdominal CT slice, poses a significant challenge to accurate segmentation. To address this problem, we propose a novel multi-level context-aware network (MCNet) to segment adrenal glands in CT images. Our MCNet mainly consists of two components, i.e., the multi-level context aggregation (MCA) module and multi-level context guidance (MCG) module. Specifically, the MCA module employs multi-branch dilated convolutional layers to capture geometric information, which enables handling of changes in complex scenarios such as variations in the size and shape of objects. The MCG module, on the other hand, gathers valuable features from the shallow layer and leverages the complete utilization of feature information at different resolutions in various codec stages. Finally, we evaluate the performance of the MCNet on two CT datasets, including our clinical dataset (Ad-Seg) and a publicly available dataset known as Distorted Golden Standards (DGS), from different perspectives. Compared to ten other state-of-the-art segmentation methods, our MCNet achieves 71.34% and 75.29% of the best Dice similarity coefficient on the two datasets, respectively, which is at least 2.46% and 1.19% higher than other segmentation methods.

Eye movements as predictor of cognitive improvement after cognitive remediation therapy in patients with schizophrenia.

Aim: Baseline cognitive functions of patients predicted the efficacy of cognitive remediation therapy (CRT), but results are mixed. Eye movement is a more objective and advanced assessment of cognitive functions than neuropsychological testing. We aimed to investigate the applicability of eye movements in predicting cognitive improvement after patients with schizophrenia were treated with CRT. Methods: We recruited 79 patients with schizophrenia to complete 8 weeks of CRT and assessed their cognitive improvement outcomes. Eye movements were assessed by prosaccades, antisaccades, and free-viewing tasks at baseline, and neuropsychological tests in four cognitive domains were assessed before and after treatment to calculate treatment outcomes. Predictors of demographic information, clinical characteristics, and eye movement measures at baseline on cognitive improvement outcomes were analyzed using logistic regression analysis. We further compared the predictive performance between eye movement measurements and neuropsychological test regarding the effect of CRT on cognitive improvement, and explored factors that could be affect the treatment outcomes in different cognitive domains. Results: As operationally defined, 33 patients showed improved in cognition (improved group) and 46 patients did not (non-improved group) after CRT. Patients with schizophrenia being employed, lower directional error rate in antisaccade task, and lower the gap effect (i.e., the difference in saccadic latency between the gap condition and overlap condition) in prosaccade task at baseline predicted cognitive improvement in CRT. However, performance in the free-viewing task not associated with cognitive improvement in patients in CRT. Our results show that eye-movement prediction model predicted the effect of CRT on cognitive improvement in patients with schizophrenia better than neuropsychological prediction model in CRT. In addition, baseline eye-movements, cognitive reserve, antipsychotic medication dose, anticholinergic cognitive burden change, and number of training sessions were associated with improvements in four cognitive domains. Conclusion: Eye movements as a non-invasiveness, objective, and sensitive method of evaluating cognitive function, and combined saccadic measurements in pro- and anti-saccades tasks could be more beneficial than free-viewing task in predicting the effect of CRT on cognitive improvement in patients with schizophrenia.

A cationic, durable, P/N-containing starch-based flame retardant for cotton fabrics.

A cationic, durable flame retardant for cotton fabrics, 6-(2-(dimethoxy phosphoryl)-2-(trimethyl ammonium)) methoxy-2-methoxy-polysaccharide ammonium phosphate (DTPAP), was synthesized. Its structure was verified by NMR and FTIR spectroscopy. According to the FTIR spectra and X-ray photoelectron spectroscopy (XPS), DTPAP formed P(=O)-O-C bonds with cellulose molecules and firmly grafted to cotton fabrics, giving the fabric a high durability. DTPAP-25-treated fabrics passed the vertical flame test (VFT), and the limiting oxygen index (LOI) was 43.9 %. After 50 laundering cycles (LCs), the DTPAP-25-treated fabrics had an LOI of 29.9 %, passed the VFT, and retained their flame retardancy. EDS data showed that, compared with engrafted cationic ammonium phosphate flame retardants, the DTPAP-treated fabrics contained fewer metal ions. Cone calorimetry data showed that DTPAP-25-treated fabrics did not display concentrated heat release. The results suggested that DTPAP exhibited a condensed-phase flame retardant mechanism, and the introduction of cations into the ammonium phosphate flame retardant reduced ion exchange, which improved the durability.

Improved detection sensitivity of anti-PRV variant antibodies through preparation of anti-gB and anti-gE monoclonal antibodies and development of blocking ELISAs.

Since 2011, PRV has resurged in China and is characterized by a mutated strain with significant alterations in antigenicity and virulence. Therefore, we hypothesized that antibody detection kits based on classic PRV strains may have limitations in detecting PRV variants. For more sensitive antibody detection of PRV variants, two MABs targeting the gB and gE proteins were developed. IFA revealed that these MABs exhibited strong reactivity toward both classic and variant PRV strains. MAB-gE recognizes a novel conserved linear B-cell epitope (41PSAEVWD47), while MAB-gB recognizes a conformational B-cell epitope. The binding of both MABs was effectively inhibited in the PRV-positive pig blood samples. Accordingly, we established blocking-ELISAs to detect anti-PRV gB and gE antibodies, which achieved higher sensitivity than commercial kits. Moreover, the clinical serum samples results of our method and that of IFA were in high agreement, and our test results had a higher coincidence rate than that of a commercial kit. Assessing antibody levels by our methods at various times following immunization and challenge accurately reflected the trend of antibody-level changes and revealed the conversion to positive antibody status before the commercial kit. Our method is crucial for monitoring PRV infections, assessing immune responses, and controlling disease.

Prevalence and genetic evolution of porcine reproductive and respiratory syndrome virus in commercial fattening pig farms in China.

BACKGROUND: To investigate the prevalence and evolution of Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) at commercial fattening pig farms, a total of 1397 clinical samples were collected from a single fattening cycle at seven pig farms in five provinces of China from 2020 to 2021. RESULTS: The RT‒PCR results revealed that PRRSV was present on all seven farms, and the percentage of PRRSV-positive individuals was 17.54-53.33%. A total of 344 partial NSP2 gene sequences and 334 complete ORF5 gene sequences were obtained from the positive samples. The statistical results showed that PRRSV-2 was present on all seven commercial fattening farms, and PRRSV-1 was present on only one commercial fattening farm. A total of six PRRSV-2 subtypes were detected, and five of the seven farms had two or more PRRSV-2 subtypes. L1.8 (L1C) PRRSV was the dominant epidemic strain on five of the seven pig farms. Sequence analysis of L1.8 (L1C) PRRSV from different commercial fattening pig farms revealed that its consistency across farms varied substantially. The amino acid alignment results demonstrated that there were 131 aa discontinuous deletions in NSP2 between different L1.8 (L1C) PRRSV strains and that the GP5 mutation in L1.8 (L1C) PRRSV was mainly concentrated in the peptide signal region and T-cell epitopes. Selection pressure analysis of GP5 revealed that the use of the PRRSV MLV vaccine had no significant episodic diversifying effect on L1.8 (L1C) PRRSV. CONCLUSION: PRRSV infection is common at commercial fattening pig farms in China, and the percentage of positive individuals is high. There are multiple PRRSV subtypes of infection at commercial fattening pig farms in China. L1.8 (L1C) is the main circulating PRRSV strain on commercial fattening pig farms. L1.8 (L1C) PRRSV detected at different commercial fattening pig farms exhibited substantial differences in consistency but similar molecular characteristics. The pressure on the GP5 of L1.8 (L1C) PRRSV may not be directly related to the use of the vaccines.